A meta model for team recommendations

Michele Brocco, Georg Groh, Florian Forster

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations


Teams are an important organizational unit and need to be composed appropriately. Whenever a high number of possible team members exists, the complexity of the composition task can not be effectively handled by humans. To support the composition in this scenario, team recommenders can be used. In this paper we discuss and formalize a flexible approach using a generic meta model for implementing various team composition strategies derived from a literature review. In order to demonstrate its use and its compatibility with a generic team recommendation approach, we then translate some of the theoretical team composition approaches found in the literature.

Original languageEnglish
Title of host publicationSocial Informatics - Second International Conference, SocInfo 2010, Proceedings
Number of pages16
StatePublished - 2010
Event2nd International Conference on Social Informatics, SocInfo 2010 - Laxenburg, Austria
Duration: 27 Oct 201029 Oct 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6430 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2nd International Conference on Social Informatics, SocInfo 2010


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